Senior Software Engineer - Security

Databricks

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San Francisco, California First seen 3 weeks ago Last seen 6 hours, 35 minutes ago Greenhouse

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Job Description

AI Summary

• Design and implement security solutions to protect customer data on Databricks' data and AI infrastructure platform, identifying and addressing critical infrastructure vulnerabilities • Lead security engineering initiatives across the organization with influence at senior levels, setting vision and strategy for data security practices • Require 5+ years of data security experience plus expertise in areas like cryptography, Kubernetes security, web security, identity management, access control, or key management • Build and mentor top security talent while representing Databricks at industry conferences and advocating for security-focused engineering practices company-wide • Ideal candidates have experience with large-scale distributed systems at internet companies, strong cross-functional leadership skills, and advanced degree in Computer Science or related field

P-1137

Summary

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.

Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 1500 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform.

Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space.

The impact you will have:

Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services
Attract top talent from across the industry.
Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven
Represent Databricks at academic and industry conferences & events

What we look for:

5+ years of experience in Data Security or related areas and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus.
5+ years of experience building large scale distributed systems with high availability
Leadership skills and experience to lead across functional and organizational lines
Strong communication skills to explain and evangelize Data Security to senior leaders across the company
Bias to action and passion for delivering high-quality solutions
MS or Ph.D. in Computer Science or related fields

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$164,200—$225,700 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Skills

kubernetes rust go

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Job Information

Company:
Databricks
Location:
San Francisco, California
Job Type:
Internship
Experience Level:
Senior
Source:
Greenhouse
Status:
Active

Activity Score

66 /100

Likely Active (66)

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